// Copyright 2010-2022 Google LLC // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "ortools/math_opt/cpp/model_solve_parameters.h" #include #include #include #include #include "google/protobuf/message.h" #include "ortools/base/status_macros.h" #include "ortools/math_opt/cpp/linear_constraint.h" #include "ortools/math_opt/cpp/solution.h" #include "ortools/math_opt/cpp/sparse_containers.h" #include "ortools/math_opt/cpp/variable_and_expressions.h" #include "ortools/math_opt/model_parameters.pb.h" #include "ortools/math_opt/solution.pb.h" #include "ortools/math_opt/sparse_containers.pb.h" #include "ortools/math_opt/storage/model_storage.h" #include "ortools/util/status_macros.h" namespace operations_research { namespace math_opt { using ::google::protobuf::RepeatedField; ModelSolveParameters ModelSolveParameters::OnlyPrimalVariables() { ModelSolveParameters parameters; parameters.dual_values_filter = MakeSkipAllFilter(); parameters.reduced_costs_filter = MakeSkipAllFilter(); return parameters; } ModelSolveParameters ModelSolveParameters::OnlySomePrimalVariables( std::initializer_list variables) { return OnlySomePrimalVariables>(variables); } absl::Status ModelSolveParameters::CheckModelStorage( const ModelStorage* const expected_storage) const { for (const SolutionHint& hint : solution_hints) { RETURN_IF_ERROR(hint.CheckModelStorage(expected_storage)) << "invalid hint in solution_hints"; } if (initial_basis.has_value()) { RETURN_IF_ERROR(initial_basis->CheckModelStorage(expected_storage)) << "invalid initial_basis"; } RETURN_IF_ERROR(variable_values_filter.CheckModelStorage(expected_storage)) << "invalid variable_values_filter"; RETURN_IF_ERROR(dual_values_filter.CheckModelStorage(expected_storage)) << "invalid dual_values_filter"; RETURN_IF_ERROR(reduced_costs_filter.CheckModelStorage(expected_storage)) << "invalid reduced_costs_filter"; return absl::OkStatus(); } absl::Status ModelSolveParameters::SolutionHint::CheckModelStorage( const ModelStorage* expected_storage) const { for (const auto& [v, _] : variable_values) { RETURN_IF_ERROR(internal::CheckModelStorage( /*storage=*/v.storage(), /*expected_storage=*/expected_storage)) << "invalid variable " << v << " in variable_values"; } for (const auto& [c, _] : dual_values) { RETURN_IF_ERROR(internal::CheckModelStorage( /*storage=*/c.storage(), /*expected_storage=*/expected_storage)) << "invalid constraint " << c << " in dual_values"; } return absl::OkStatus(); } SolutionHintProto ModelSolveParameters::SolutionHint::Proto() const { SolutionHintProto hint; *hint.mutable_variable_values() = VariableValuesToProto(variable_values); *hint.mutable_dual_values() = LinearConstraintValuesToProto(dual_values); return hint; } absl::StatusOr ModelSolveParameters::SolutionHint::FromProto( const Model& model, const SolutionHintProto& hint_proto) { OR_ASSIGN_OR_RETURN3( VariableMap variable_values, VariableValuesFromProto(model.storage(), hint_proto.variable_values()), _ << "failed to parse SolutionHintProto.variable_values"); OR_ASSIGN_OR_RETURN3(LinearConstraintMap dual_values, LinearConstraintValuesFromProto( model.storage(), hint_proto.dual_values()), _ << "failed to parse SolutionHintProto.dual_values"); return SolutionHint{ .variable_values = std::move(variable_values), .dual_values = std::move(dual_values), }; } ModelSolveParametersProto ModelSolveParameters::Proto() const { ModelSolveParametersProto ret; *ret.mutable_variable_values_filter() = variable_values_filter.Proto(); *ret.mutable_dual_values_filter() = dual_values_filter.Proto(); *ret.mutable_reduced_costs_filter() = reduced_costs_filter.Proto(); // TODO(b/183616124): consolidate code. Probably best to add an // export_to_proto to IdMap if (initial_basis) { RepeatedField* const constraint_status_ids = ret.mutable_initial_basis()->mutable_constraint_status()->mutable_ids(); RepeatedField* const constraint_status_values = ret.mutable_initial_basis() ->mutable_constraint_status() ->mutable_values(); constraint_status_ids->Reserve(initial_basis->constraint_status.size()); constraint_status_values->Reserve(initial_basis->constraint_status.size()); for (const LinearConstraint& key : SortedKeys(initial_basis->constraint_status)) { constraint_status_ids->Add(key.id()); constraint_status_values->Add( EnumToProto(initial_basis->constraint_status.at(key))); } RepeatedField* const variable_status_ids = ret.mutable_initial_basis()->mutable_variable_status()->mutable_ids(); RepeatedField* const variable_status_values = ret.mutable_initial_basis() ->mutable_variable_status() ->mutable_values(); variable_status_ids->Reserve(initial_basis->variable_status.size()); variable_status_values->Reserve(initial_basis->variable_status.size()); for (const Variable& key : SortedKeys(initial_basis->variable_status)) { variable_status_ids->Add(key.id()); variable_status_values->Add( EnumToProto(initial_basis->variable_status.at(key))); } } for (const SolutionHint& solution_hint : solution_hints) { *ret.add_solution_hints() = solution_hint.Proto(); } if (!branching_priorities.empty()) { RepeatedField* const variable_ids = ret.mutable_branching_priorities()->mutable_ids(); RepeatedField* const variable_values = ret.mutable_branching_priorities()->mutable_values(); variable_ids->Reserve(branching_priorities.size()); variable_values->Reserve(branching_priorities.size()); for (const Variable& key : SortedKeys(branching_priorities)) { variable_ids->Add(key.id()); variable_values->Add(branching_priorities.at(key)); } } return ret; } } // namespace math_opt } // namespace operations_research